Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Strength in numbers: Proteins travel as condensates to reinforce cell-cell junctions under stress.

The Journal of cell biology·2026

Same author

Cell divisions both challenge and refine tissue boundaries in the Drosophila embryo.

Development (Cambridge, England)·2026

Same author

Inferring active and passive mechanical drivers of epithelial convergent extension.

bioRxiv : the preprint server for biology·2025

Same author

Should I shrink or should I grow: cell size changes in tissue morphogenesis.

Genome·2024

Same author

Integrin-based adhesions promote cell-cell junction and cytoskeletal remodelling to drive embryonic wound healing.

Journal of cell science·2023

Same author

The α-Catenin mechanosensing M region is required for cell adhesion during tissue morphogenesis.

The Journal of cell biology·2022

Same journal

The Rab GEF VINE couples phosphatase recruitment to GAP-mediated Rab5 inactivation.

The Journal of cell biology·2026

Same journal

Intercellular mitochondrial transfer and trans-mitophagy in response to protein import dysfunction.

The Journal of cell biology·2026

Same journal

aPKC exclusion from the apical cortex in enteroblasts maintains stem cell homeostasis in Drosophila.

The Journal of cell biology·2026

Same journal

A pan-vertebrate signaling motif controls the molecular function of intracellular AQP12.

The Journal of cell biology·2026

Same journal

Synergistic assembly, disassembly, and protection of complex forms of bundled F-actin.

The Journal of cell biology·2026

Same journal

Recruitment and release of XPG during NER is controlled by pre- and post-incision factors and EXO1.

The Journal of cell biology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Sep 11, 2025

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

ReSCU-Nets: Recurrent U-Nets for segmentation of three-dimensional microscopy data.

Raymond Hawkins^1,2, Negar Balaghi^1,2, Katheryn E Rothenberg^1,2

¹Institute of Biomedical Engineering, University of Toronto , Toronto, Canada.

The Journal of Cell Biology

|August 11, 2025

Summary

This summary is machine-generated.

We developed ReSCU-Nets, a novel recurrent neural network for accurate biological image segmentation. This method improves accuracy in multidimensional microscopy and aids in analyzing tissue repair dynamics.

More Related Videos

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

Related Experiment Videos

Last Updated: Sep 11, 2025

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

Area of Science:

* Biological image analysis
* Computational biology
* Developmental biology

Background:

* Accurate segmentation of multidimensional microscopy data is crucial but labor-intensive.
* Existing segmentation models struggle with accuracy across image sequences (e.g., time-lapse).

Purpose of the Study:

* Introduce ReSCU-Nets, recurrent convolutional neural networks for efficient and accurate image segmentation.
* Enhance segmentation accuracy and enable human-in-the-loop corrections to prevent error propagation.
* Investigate the role of gap junctions in Drosophila embryonic wound healing using ReSCU-Nets.

Main Methods:

* Developed ReSCU-Nets, leveraging previous image segmentation results to prompt current image segmentation.
* Compared ReSCU-Nets against state-of-the-art models like nnU-Net and Segment Anything Model.
* Applied ReSCU-Nets to analyze gap junction function during Drosophila embryonic wound healing.

Main Results:

* ReSCU-Nets demonstrated superior performance over existing models in time-lapse microscopy segmentation tasks.
* Enabled effective human-in-the-loop corrections, preventing cumulative segmentation errors.
* Revealed that blocking gap junctions impairs wound closure by affecting cytoskeletal polarity and cell shape.

Conclusions:

* ReSCU-Nets offer a significant advancement in segmenting multidimensional microscopy data.
* The model facilitates detailed analysis of molecular and cellular dynamics in tissue morphogenesis.
* Provides new insights into the mechanisms of embryonic wound healing.